Wi-Fi Spatial Re-Use: A Survey
Keywords:
STAs;, Aps;, OBSS enable and disabled;, NS-3 Simulator and Throughput;
Abstract
Calculation of throughput for OBSS Enabled and Disabled for 2.4GHz and in different Channels in Network Simulator-3 (NS-3 by increasing number of STAs and APs and finally compared the throughput with their graphs. The goal of spatial reuse in an Overlapping Basic Service Set OBSS), is to increase the number of parallel transmission without interferences. Then, we investigated the performance of the spatial reuse operation's throughputs using a simulation-based approach and plotted the graphs in MATLAB. The proposed system enhancing the use of parallel transmission and improvement of performance in wireless communication.
References
1. Wang, L., et al., Spatial Reuse Based Efficient Coexistence for Cellular and WiFi Systems in the Unlicensed Band. IEEE Internet of Things Journal, 2021.
2. Malhotra, A., M. Maity, and A. Dutta. How much can we reuse? An empirical analysis of the performance benefits achieved by spatial-reuse of IEEE 802.11 ax. in 2019 11th International Conference on Communication Systems & Networks (COMSNETS). 2019. IEEE.
3. Aggarwal, S., et al. 802.11 ad in Smartphones: Energy Efficiency, Spatial Reuse, and Impact on Applications. in IEEE INFOCOM 2021-IEEE Conference on Computer Communications. 2021. IEEE.
4. Alawieh, B., et al., Improving spatial reuse in multihop wireless networks-a survey. IEEE Communications Surveys & Tutorials, 2009. 11(3): p. 71-91.
5. Yin, R., G.Y. Li, and A. Maaref, Spatial reuse for coexisting LTE and Wi-Fi systems in unlicensed spectrum. IEEE Transactions on Wireless Communications, 2017. 17(2): p. 1187-1198.
6. Zhang, X., et al. Deep learning for interference identification: Band, training SNR, and sample selection. in 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). 2019. IEEE.
7. Kajita, S., et al. A channel selection strategy for WLAN in urban areas by regression analysis. in 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). 2014. IEEE.
8. Hang, D., et al. Power Control Based Spatial Reuse for LAA and WiFi Coexistence. in International Conference on Smart Grid and Internet of Things. 2020. Springer.
9. Andrews, J.G., et al., Are we approaching the fundamental limits of wireless network densification? IEEE Communications Magazine, 2016. 54(10): p. 184-190.
10. Islam, M.N., S. Subramanian, and A. Sampath. Integrated access backhaul in millimeter wave networks. in 2017 IEEE Wireless Communications and Networking Conference (WCNC). 2017. IEEE.
11. Wilhelmi, F., S. Barrachina-Muñoz, and B. Bellalta. On the performance of the spatial reuse operation in IEEE 802.11 ax WLANs. in 2019 IEEE Conference on Standards for Communications and Networking (CSCN). 2019. IEEE.
12. Geraci, G., et al., Operating massive MIMO in unlicensed bands for enhanced coexistence and spatial reuse. IEEE Journal on Selected Areas in Communications, 2017. 35(6): p. 1282-1293.
13. Assasa, H. and J. Widmer. Extending the ieee 802.11 ad model: Scheduled access, spatial reuse, clustering, and relaying. in Proceedings of the Workshop on Ns-3. 2017.
14. Riley, G.F. and T.R. Henderson, The ns-3 network simulator, in Modeling and tools for network simulation. 2010, Springer. p. 15-34.
15. Carneiro, G. NS-3: Network simulator 3. in UTM Lab Meeting April. 2010.
2. Malhotra, A., M. Maity, and A. Dutta. How much can we reuse? An empirical analysis of the performance benefits achieved by spatial-reuse of IEEE 802.11 ax. in 2019 11th International Conference on Communication Systems & Networks (COMSNETS). 2019. IEEE.
3. Aggarwal, S., et al. 802.11 ad in Smartphones: Energy Efficiency, Spatial Reuse, and Impact on Applications. in IEEE INFOCOM 2021-IEEE Conference on Computer Communications. 2021. IEEE.
4. Alawieh, B., et al., Improving spatial reuse in multihop wireless networks-a survey. IEEE Communications Surveys & Tutorials, 2009. 11(3): p. 71-91.
5. Yin, R., G.Y. Li, and A. Maaref, Spatial reuse for coexisting LTE and Wi-Fi systems in unlicensed spectrum. IEEE Transactions on Wireless Communications, 2017. 17(2): p. 1187-1198.
6. Zhang, X., et al. Deep learning for interference identification: Band, training SNR, and sample selection. in 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). 2019. IEEE.
7. Kajita, S., et al. A channel selection strategy for WLAN in urban areas by regression analysis. in 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). 2014. IEEE.
8. Hang, D., et al. Power Control Based Spatial Reuse for LAA and WiFi Coexistence. in International Conference on Smart Grid and Internet of Things. 2020. Springer.
9. Andrews, J.G., et al., Are we approaching the fundamental limits of wireless network densification? IEEE Communications Magazine, 2016. 54(10): p. 184-190.
10. Islam, M.N., S. Subramanian, and A. Sampath. Integrated access backhaul in millimeter wave networks. in 2017 IEEE Wireless Communications and Networking Conference (WCNC). 2017. IEEE.
11. Wilhelmi, F., S. Barrachina-Muñoz, and B. Bellalta. On the performance of the spatial reuse operation in IEEE 802.11 ax WLANs. in 2019 IEEE Conference on Standards for Communications and Networking (CSCN). 2019. IEEE.
12. Geraci, G., et al., Operating massive MIMO in unlicensed bands for enhanced coexistence and spatial reuse. IEEE Journal on Selected Areas in Communications, 2017. 35(6): p. 1282-1293.
13. Assasa, H. and J. Widmer. Extending the ieee 802.11 ad model: Scheduled access, spatial reuse, clustering, and relaying. in Proceedings of the Workshop on Ns-3. 2017.
14. Riley, G.F. and T.R. Henderson, The ns-3 network simulator, in Modeling and tools for network simulation. 2010, Springer. p. 15-34.
15. Carneiro, G. NS-3: Network simulator 3. in UTM Lab Meeting April. 2010.
Published
2023-03-14
Issue
Section
Articles
